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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. IonDB vs Pouchdb

IonDB vs Pouchdb

OverviewComparisonAlternatives

Overview

IonDB
IonDB
Stacks1
Followers15
Votes0
GitHub Stars593
Forks48
Pouchdb
Pouchdb
Stacks148
Followers242
Votes6
GitHub Stars17.5K
Forks1.5K

IonDB vs Pouchdb: What are the differences?

  1. Data Model: IonDB uses a key-value data model, while PouchDB utilizes a document-oriented data model. This means that IonDB organizes data based on unique keys, whereas PouchDB organizes data into documents that can be queried using various parameters within the document.

  2. Storage Mechanism: IonDB stores data in memory and on disk, providing both volatile and persistent storage options. On the other hand, PouchDB primarily relies on IndexedDB, WebSQL, or local storage in the user's browser for data storage, making it suitable for web applications with data synchronization needs.

  3. Query Language: IonDB does not support querying language by itself and requires developers to perform key-based data retrieval operations. In contrast, PouchDB offers a powerful querying API that allows developers to perform complex queries on stored data, making it more versatile for data manipulation tasks.

  4. Supported Platforms: IonDB is designed for embedded systems and IoT devices, providing efficient data storage and retrieval capabilities in resource-constrained environments. Conversely, PouchDB is primarily intended for web and mobile applications, leveraging browser-based storage mechanisms for data persistence.

  5. Synchronization: PouchDB offers built-in support for data synchronization between different clients and a server, enabling real-time updates and collaborative work on shared data. In contrast, IonDB does not provide native synchronization features, requiring developers to implement custom synchronization logic if needed.

  6. Community and Ecosystem: PouchDB has a larger community and ecosystem compared to IonDB, offering a wide range of plugins, integrations, and community support for developers. This can be beneficial for developers looking for extensive documentation, support, and community-driven solutions for their data storage needs.

In Summary, IonDB and PouchDB differ in their data models, storage mechanisms, query languages, supported platforms, synchronization capabilities, and community ecosystems, catering to distinct use cases and development preferences.

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Detailed Comparison

IonDB
IonDB
Pouchdb
Pouchdb

Currently in the Arduino world, there doesn't exist an associative array or map implementation that is both easy to use and performance competitive. There also is little support for disk based storage options that don't involve writing it yourself. IonDB is fast, functional, and offers disk based storage out of the box.

PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

Storing arbitrary values associated to a key; Duplicate key support; Range and Equality queries; Disk based persistent data storage;
Cross browser compatibility; Lightweight; Easy to learn; Open source
Statistics
GitHub Stars
593
GitHub Stars
17.5K
GitHub Forks
48
GitHub Forks
1.5K
Stacks
1
Stacks
148
Followers
15
Followers
242
Votes
0
Votes
6
Pros & Cons
No community feedback yet
Pros
  • 2
    Offline cache
  • 1
    Very fast
  • 1
    Free
  • 1
    Repication
  • 1
    JSON

What are some alternatives to IonDB, Pouchdb?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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